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mostafahashemiyan/README.md

👨‍💻 About Me

class MostafaHashemiyan:
    def __init__(self):
        self.role = "Junior AI Engineer at HRM"
        self.location = "Milan, Italy"
        self.education = (
            "MSc Telecommunications Engineering — Politecnico di Milano"
        )
        self.focus = [
            "Agentic AI and multi-agent orchestration",
            "LLM-powered document intelligence",
            "RAG and structured output pipelines",
            "FastAPI-based AI services",
            "Machine learning inference and explainability",
        ]

    def current_work(self):
        return {
            "AIRING": "AI recruitment and multilingual CV intelligence",
            "MyCredit AI": "Agentic due diligence for Nivara",
            "LIVREA": "AI-assisted vehicle forecasting and valuation",
        }

    def engineering_principles(self):
        return [
            "Build modular and testable AI systems",
            "Use structured schemas and validation",
            "Combine models with reliable software engineering",
            "Measure impact through accuracy, speed, and usability",
        ]

I am a Junior AI Engineer with hands-on experience developing agentic AI systems, multi-agent workflows, document-processing pipelines, backend APIs, and machine-learning applications.

My recent work includes building specialized LLM agents, integrating open-source and proprietary models, creating structured JSON outputs, developing Streamlit interfaces, refactoring application code, and testing AI-enabled APIs. I am particularly interested in turning experimental AI capabilities into reliable and useful software products.

🚀 Featured Projects

🧩 AIRING

AI Recruitment & CV Intelligence Platform

  • Developed Phase 1 of an LLM-powered multilingual CV-processing pipeline.
  • Designed 8 specialized AI agents for personal information, education, skills, and work-experience extraction.
  • Implemented multi-agent orchestration, prompt engineering, tool calling, JSON schemas, validation, and fallback logic.
  • Integrated open-source and proprietary LLMs through APIs.
  • Built a Streamlit review interface and contributed to 10+ API endpoints.
  • Processed approximately 50 CVs with about 98% structured extraction accuracy.
  • Reduced candidate-processing time from 1–2 weeks to minutes.

Technologies

Python OpenAI Agents SDK FastAPI Pydantic Streamlit PostgreSQL ChromaDB Ollama Docker pytest

🏦 MyCredit AI

Agentic Due-Diligence Platform for Nivara

  • Contributed to an AI-powered due-diligence platform developed for Nivara.
  • Built and refined workflows with 10+ specialized agents.
  • Supported document classification, structured extraction, validation, and cross-document consistency checks.
  • Worked with financial, legal, and real-estate documentation.
  • Applied structured schemas and human-review mechanisms for uncertain outputs.
  • Helped reduce an approximately 4-week manual workflow to around 15 minutes.

Technologies

Python OpenAI Agents SDK FastAPI Structured JSON Prompt Engineering Redis Celery PostgreSQL Docker API Testing

🚗 LIVREA

AI Vehicle Forecasting & Valuation Platform

  • Contributed to an asynchronous AI and ML architecture for vehicle forecasting and valuation.
  • Worked across APIs, background tasks, job-status tracking, testing, and AI-assisted valuation workflows.
  • Supported the integration of an FT-Transformer prediction model and SHAP-based explanations.
  • Helped connect model predictions with LLM-based analysis and a Streamlit interface.

Technologies

FastAPI Celery Redis PostgreSQL PyTorch FT-Transformer SHAP Streamlit Docker

🏭 Haier Europe

Industrial IoT, ML & Translation Automation

  • Built data-cleaning, preprocessing, and feature-engineering pipelines for IoT and operational datasets.
  • Supported anomaly-detection and system-reliability analysis with machine-learning models.
  • Developed a transformer-based multilingual translation workflow for technical documentation.
  • Created operational KPI visualizations for engineering and business teams.

Technologies

Python SQL Pandas NumPy scikit-learn Hugging Face Transformers OpenAI API Matplotlib Seaborn

Selected professional projects were developed in company or client environments, so their source repositories may be private.

🧠 AI & LLM Engineering

Area Technologies & Concepts
Agentic AI OpenAI Agents SDK · Specialized Agents · Multi-Agent Orchestration · Tool Calling
LLM Engineering Prompt Engineering · Structured Outputs · JSON Schemas · Validation · Fallback Logic
RAG & Retrieval Embeddings · Semantic Search · ChromaDB · Context Retrieval
Model Integration OpenAI API · Ollama · Open-Source Models · Proprietary Models · Hugging Face
AI Applications Document Intelligence · CV Parsing · Due Diligence · Translation Automation
Quality & Reliability Automated Tests · API Tests · Refactoring · Error Handling · Human-in-the-Loop

🛠️ Technical Stack

💻 Programming & Data

Python C++ SQL Pandas NumPy

🤖 AI, LLMs & Machine Learning

OpenAI Hugging Face PyTorch TensorFlow scikit-learn Ollama

⚙️ Backend, Databases & Infrastructure

FastAPI Pydantic PostgreSQL Redis Docker GitHub Actions

🧪 Development & Collaboration

Git Pytest Streamlit Jupyter Jira Linux

💼 Experience

Period Role Organization
Nov 2025 – Present Junior AI Engineer HRM
Sep 2024 – Sep 2025 Data Analyst & Machine Learning Specialist — Thesis Intern Haier Europe

🎓 Education & Certifications

Education

  • MSc in Telecommunications Engineering
    Politecnico di Milano — March 2026

  • BSc in Computer Science
    University of Eyvanekey — 2022

Certifications

  • AI Engineer Core Track: LLM Engineering, RAG, QLoRA & Agents — Udemy, 2026
  • Python Essentials for MLOps — Duke University, 2025
  • Google Generative AI Intensive — Google, 2025

🌍 Languages

  • Persian: Native
  • English: Advanced
  • Italian: Intermediate

📊 GitHub Activity

Mostafa's GitHub statistics Most used languages
GitHub contribution streak

🎯 Current Interests

🤖 Agentic AI and autonomous workflows
🧩 Multi-agent system architecture
📄 LLM-powered document intelligence
🔎 Retrieval-Augmented Generation
🛡️ Reliable and testable AI applications
⚙️ Asynchronous AI and ML services
📊 Explainable machine learning
☁️ Production-oriented AI engineering

Let’s build reliable AI systems that turn complex workflows into practical products.

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